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feat: Onboard San Francisco Bikeshare Stations (#191)
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datasets/san_francisco_bikeshare_stations/_images/run_csv_transform_kub/Dockerfile
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# Copyright 2021 Google LLC | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
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# The base image for this build | ||
# FROM gcr.io/google.com/cloudsdktool/cloud-sdk:slim | ||
FROM python:3.8 | ||
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# Allow statements and log messages to appear in Cloud logs | ||
ENV PYTHONUNBUFFERED True | ||
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# Copy the requirements file into the image | ||
COPY requirements.txt ./ | ||
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# Install the packages specified in the requirements file | ||
RUN python3 -m pip install --no-cache-dir -r requirements.txt | ||
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# The WORKDIR instruction sets the working directory for any RUN, CMD, | ||
# ENTRYPOINT, COPY and ADD instructions that follow it in the Dockerfile. | ||
# If the WORKDIR doesn’t exist, it will be created even if it’s not used in | ||
# any subsequent Dockerfile instruction | ||
WORKDIR /custom | ||
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# Copy the specific data processing script/s in the image under /custom/* | ||
COPY ./csv_transform.py . | ||
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# Command to run the data processing script when the container is run | ||
CMD ["python3", "csv_transform.py"] |
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datasets/san_francisco_bikeshare_stations/_images/run_csv_transform_kub/csv_transform.py
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# Copyright 2021 Google LLC | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
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import json | ||
import logging | ||
import os | ||
import pathlib | ||
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import pandas as pd | ||
import requests | ||
from google.cloud import storage | ||
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def main( | ||
source_url_json: str, | ||
source_file: pathlib.Path, | ||
target_file: pathlib.Path, | ||
chunksize: str, | ||
target_gcs_bucket: str, | ||
target_gcs_path: str, | ||
) -> None: | ||
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logging.info("San Francisco Bikeshare Stations process started") | ||
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pathlib.Path("./files").mkdir(parents=True, exist_ok=True) | ||
source_file_stations_json = str(source_file).replace(".csv", "") + "_stations.json" | ||
download_file_json(source_url_json, source_file_stations_json, source_file) | ||
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chunksz = int(chunksize) | ||
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logging.info(f"Opening batch file {source_file}") | ||
with pd.read_csv( | ||
source_file, # path to main source file to load in batches | ||
engine="python", | ||
encoding="utf-8", | ||
quotechar='"', # string separator, typically double-quotes | ||
chunksize=chunksz, # size of batch data, in no. of records | ||
sep=",", # data column separator, typically "," | ||
) as reader: | ||
for chunk_number, chunk in enumerate(reader): | ||
target_file_batch = str(target_file).replace( | ||
".csv", "-" + str(chunk_number) + ".csv" | ||
) | ||
df = pd.DataFrame() | ||
df = pd.concat([df, chunk]) | ||
process_chunk(df, target_file_batch, target_file, (not chunk_number == 0)) | ||
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upload_file_to_gcs(target_file, target_gcs_bucket, target_gcs_path) | ||
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logging.info("San Francisco Bikeshare Stations process completed") | ||
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def process_chunk( | ||
df: pd.DataFrame, target_file_batch: str, target_file: str, skip_header: bool | ||
) -> None: | ||
df = rename_headers(df) | ||
df = filter_empty_data(df) | ||
df = generate_location(df) | ||
df = resolve_datatypes(df) | ||
df = reorder_headers(df) | ||
save_to_new_file(df, file_path=str(target_file_batch)) | ||
append_batch_file(target_file_batch, target_file, skip_header, not (skip_header)) | ||
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def rename_headers(df: pd.DataFrame) -> None: | ||
logging.info("Renaming Headers") | ||
header_names = { | ||
"data.stations.station_id": "station_id", | ||
"data.stations.name": "name", | ||
"data.stations.short_name": "short_name", | ||
"data.stations.lat": "lat", | ||
"data.stations.lon": "lon", | ||
"data.stations.region_id": "region_id", | ||
"data.stations.rental_methods": "rental_methods", | ||
"data.stations.capacity": "capacity", | ||
"data.stations.eightd_has_key_dispenser": "eightd_has_key_dispenser", | ||
"data.stations.has_kiosk": "has_kiosk", | ||
"data.stations.external_id": "external_id", | ||
} | ||
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df.rename(columns=header_names) | ||
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return df | ||
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def filter_empty_data(df: pd.DataFrame) -> pd.DataFrame: | ||
logging.info("Filter rows with empty key data") | ||
df = df[df["station_id"] != ""] | ||
df = df[df["name"] != ""] | ||
df = df[df["lat"] != ""] | ||
df = df[df["lon"] != ""] | ||
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return df | ||
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def generate_location(df: pd.DataFrame) -> pd.DataFrame: | ||
logging.info("Generating location data") | ||
df["station_geom"] = ( | ||
"POINT(" | ||
+ df["lon"][:].astype("string") | ||
+ " " | ||
+ df["lat"][:].astype("string") | ||
+ ")" | ||
) | ||
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return df | ||
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def resolve_datatypes(df: pd.DataFrame) -> pd.DataFrame: | ||
logging.info("Resolving datatypes") | ||
df["region_id"] = df["region_id"].astype("Int64") | ||
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return df | ||
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def reorder_headers(df: pd.DataFrame) -> pd.DataFrame: | ||
logging.info("Reordering Headers") | ||
df = df[ | ||
[ | ||
"station_id", | ||
"name", | ||
"short_name", | ||
"lat", | ||
"lon", | ||
"region_id", | ||
"rental_methods", | ||
"capacity", | ||
"external_id", | ||
"eightd_has_key_dispenser", | ||
"has_kiosk", | ||
"station_geom", | ||
] | ||
] | ||
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return df | ||
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def append_batch_file( | ||
batch_file_path: str, target_file_path: str, skip_header: bool, truncate_file: bool | ||
) -> None: | ||
data_file = open(batch_file_path, "r") | ||
if truncate_file: | ||
target_file = open(target_file_path, "w+").close() | ||
target_file = open(target_file_path, "a+") | ||
if skip_header: | ||
logging.info( | ||
f"Appending batch file {batch_file_path} to {target_file_path} with skip header" | ||
) | ||
next(data_file) | ||
else: | ||
logging.info(f"Appending batch file {batch_file_path} to {target_file_path}") | ||
target_file.write(data_file.read()) | ||
data_file.close() | ||
target_file.close() | ||
if os.path.exists(batch_file_path): | ||
os.remove(batch_file_path) | ||
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def save_to_new_file(df, file_path) -> None: | ||
df.to_csv(file_path, index=False) | ||
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def download_file_json( | ||
source_url_json: str, source_file_json: str, source_file_csv: str | ||
) -> None: | ||
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# this function extracts the json from a source url and creates | ||
# a csv file from that data to be used as an input file | ||
logging.info(f"Downloading stations json file {source_url_json}") | ||
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# download json url into object r | ||
r = requests.get(source_url_json + ".json", stream=True) | ||
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# push object r (json) into json file | ||
with open(source_file_json, "wb") as f: | ||
for chunk in r: | ||
f.write(chunk) | ||
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f = open( | ||
source_file_json.strip(), | ||
) | ||
json_data = json.load(f) | ||
df = pd.DataFrame(json_data["data"]["stations"]) | ||
df.to_csv(source_file_csv, index=False) | ||
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def upload_file_to_gcs(file_path: pathlib.Path, gcs_bucket: str, gcs_path: str) -> None: | ||
storage_client = storage.Client() | ||
bucket = storage_client.bucket(gcs_bucket) | ||
blob = bucket.blob(gcs_path) | ||
blob.upload_from_filename(file_path) | ||
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if __name__ == "__main__": | ||
logging.getLogger().setLevel(logging.INFO) | ||
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main( | ||
source_url_json=os.environ["SOURCE_URL_JSON"], | ||
source_file=pathlib.Path(os.environ["SOURCE_FILE"]).expanduser(), | ||
target_file=pathlib.Path(os.environ["TARGET_FILE"]).expanduser(), | ||
chunksize=os.environ["CHUNKSIZE"], | ||
target_gcs_bucket=os.environ["TARGET_GCS_BUCKET"], | ||
target_gcs_path=os.environ["TARGET_GCS_PATH"], | ||
) |
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datasets/san_francisco_bikeshare_stations/_images/run_csv_transform_kub/requirements.txt
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requests | ||
pandas | ||
google-cloud-storage |
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datasets/san_francisco_bikeshare_stations/_terraform/bikeshare_stations_pipeline.tf
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/** | ||
* Copyright 2021 Google LLC | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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resource "google_bigquery_table" "bikeshare_stations" { | ||
project = var.project_id | ||
dataset_id = "san_francisco_bikeshare_stations" | ||
table_id = "bikeshare_stations" | ||
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description = "san francisco bikeshare stations" | ||
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depends_on = [ | ||
google_bigquery_dataset.san_francisco_bikeshare_stations | ||
] | ||
} | ||
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output "bigquery_table-bikeshare_stations-table_id" { | ||
value = google_bigquery_table.bikeshare_stations.table_id | ||
} | ||
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output "bigquery_table-bikeshare_stations-id" { | ||
value = google_bigquery_table.bikeshare_stations.id | ||
} |
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datasets/san_francisco_bikeshare_stations/_terraform/provider.tf
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/** | ||
* Copyright 2021 Google LLC | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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provider "google" { | ||
project = var.project_id | ||
impersonate_service_account = var.impersonating_acct | ||
region = var.region | ||
} | ||
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data "google_client_openid_userinfo" "me" {} | ||
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output "impersonating-account" { | ||
value = data.google_client_openid_userinfo.me.email | ||
} |
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...s/san_francisco_bikeshare_stations/_terraform/san_francisco_bikeshare_stations_dataset.tf
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/** | ||
* Copyright 2021 Google LLC | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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resource "google_bigquery_dataset" "san_francisco_bikeshare_stations" { | ||
dataset_id = "san_francisco_bikeshare_stations" | ||
project = var.project_id | ||
description = "san_francisco_bikeshare_stations" | ||
} | ||
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output "bigquery_dataset-san_francisco_bikeshare_stations-dataset_id" { | ||
value = google_bigquery_dataset.san_francisco_bikeshare_stations.dataset_id | ||
} |
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datasets/san_francisco_bikeshare_stations/_terraform/variables.tf
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/** | ||
* Copyright 2021 Google LLC | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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variable "project_id" {} | ||
variable "bucket_name_prefix" {} | ||
variable "impersonating_acct" {} | ||
variable "region" {} | ||
variable "env" {} | ||
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